Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

To pinpoint the features responsible for those physical differences, a reduced design region approach was applied to analyze descriptors ... indispensable for validating the effectiveness of machine ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...

This study presents a comparative analysis of machine ... learning algorithms were selected for comparative analysis based on their prevalence in IoT security literature and varying computational ...

2022). Two machine learning algorithms (RF and SVM) were used to classify tree species based on all extracted features. RF is based on decision trees, reduces overfitting through random attribute ...